🛠️ Modeling Workspace

The Semantic Modeling Workspace is a dedicated environment for modeling data using a semantic layer, enabling different teams within the organization to form a common shared understanding of data. The semantic layer is used to define dimensions, hierarchies, and multidimensional datasets, and it transforms raw data into meaningful business terms. The Semantic Modeling Workspace helps simplify complex relationships between data elements, making it easier for organizations to perform data analysis and queries, and provides a more intuitive way of understanding data. The functionality of the Semantic Modeling Interface is divided into the following areas:

• Model Entity List;
• Data Source Entity List;
• Query Lab;
  • Table Structure List
  • Query Statement Editor
  • Query Results Preview
• Dimension Designer;
  • Hierarchy List;
  • Data Table Structure List;
  • Data Preview Table;
  • Dimension Table Relationship Building Area;
• Multidimensional Dataset Designer;
  • Dimension List
  • Measure List
  • Calculated Member List
  • Structure Preview Area
  • Calculation Editor
  • Query Editor

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Model Entities

The Model Entities list area is used to create various semantic model entities, including: Shared Dimensions, Multidimensional Datasets, and Virtual Cubes.

• Shared Dimension: A dimension shared between multiple datasets to avoid data redundancy and duplicate definitions.
• Multidimensional Dataset: Used to store and organize data, consisting of Dimensions and Measures.
• Virtual Cube: A virtual data model created based on one or more existing datasets.

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Data Tables

The list in the Data Tables area contains metadata information about entities from the data source, such as tables from relational databases or multidimensional datasets from multidimensional data sources.

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Refresh Metadata

The Refresh Metadata button can manually retrieve entity information from the data source.

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Upload Data

The Upload Table button can upload data files to create tables and save data to the database.

1. In the upload window, after adding a data file, proceed to the Preview step.
2. Each selection represents a data file or Excel sheet.
   1. The title in each selection will be used as the table name for creating the database table and can be modified.
   2. The preview table header represents the column configuration of this table, and selecting Key will set this column as the primary key. You can also change the column type, field length, and column name.
3. Proceed to the import step.
   1. Overwrite, Append, or Merge: Indicates whether the data will recreate the database table or append it to an existing table.
   2. The delete button can remove tables that do not need to be imported.
   3. Click Import to upload and wait for successful upload.

After completion, the Data Tables area will refresh with information about the newly created tables.

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Search Data Tables

You can filter the list based on key values or descriptions.

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Query Lab

After creating a semantic model using a data source, users can use the Query Lab feature to query and manage database objects in the data source. It can be used as a daily data operation function for users or as a data organization and preview function when modeling data. For detailed functionality, see 🧪Query Lab.

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Dimension Designer

The Dimension Designer function helps users create shared dimensions publicly. Shared dimensions are uniformly created and managed and can be used in different multidimensional datasets to minimize differences between different models. The hierarchy in dimensions allows users to analyze the results of the same dataset from different perspectives. For detailed functionality, see ❄️Dimension Designer.

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Multidimensional Dataset Designer

🧊Multidimensional Dataset Designer helps users analyze fact table data by associating different dimension data.

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Virtual Dataset Designer

🔗Virtual Dataset Designer

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Create New Story Dashboard

From the Semantic Model interface menu bar General -> Story -> Create Story, creating a story will default to using the current semantic model as the data source model.

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Shortcuts